2015
DOI: 10.1109/tamd.2015.2434951
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Design of a Multimodal EEG-based Hybrid BCI System with Visual Servo Module

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Cited by 70 publications
(33 citation statements)
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“…The system will be developed to perceive the environment autonomously and display the optimal behaviors, which would most likely be used in the current situation, on the SSVEP interface. In addition, we will also report the performance of accomplishing the operation task using the behavior-based hierarchical architecture based on other brainwave-based models, e.g., ERPs, MI potentials, and hybrid models [34].…”
Section: Discussionmentioning
confidence: 99%
“…The system will be developed to perceive the environment autonomously and display the optimal behaviors, which would most likely be used in the current situation, on the SSVEP interface. In addition, we will also report the performance of accomplishing the operation task using the behavior-based hierarchical architecture based on other brainwave-based models, e.g., ERPs, MI potentials, and hybrid models [34].…”
Section: Discussionmentioning
confidence: 99%
“…The brain-computer interface (BCI) is a system to control the machine without human peripheral neuromuscular system [1,2]. This can effectively enhance the physical ability of the user [3][4][5].…”
Section: Introductionmentioning
confidence: 99%
“…Khan et al proposed a control system based on eight commands by using EEG signals and nearinfrared spectral signals [18]. The hybrid BCI based on the multi-signals was similar to the SSVEP-based BCI which lacks the correlation between signals and users' intentions [19]. Some studies have demonstrated the feasibility of quadcopter control by combining SSVEP-based BCI and motor imagery-based BCI in the physical world.…”
Section: Introductionmentioning
confidence: 99%